Webinars 2017-08-17T14:08:09+00:00

Webinars and Videos On Demand

Webinars and videos are presented on a variety of subjects. We will cover packages, products (both Open Source & Commercial), have guest presenters, as well as general Q&A “Office Hour” recordings. All materials will be made available and at no cost. Be sure to check out our webinar and video archives. Our GitHub Webinar Repository for all webinars can be found at: https://github.com/rstudio/webinars.

Upcoming Webinars
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Latest Webinar

RStudio recently announced a new open-source package called sparklyr that facilitates a connection between R and Spark using a full-fledged dplyr backend with support for the entirety of Spark’s MLlib library. Due to Spark’s ability to interact with distributed data with little latency, it is becoming an attractive tool for interfacing with large datasets in an interactive environment. In addition to handling the storage of data, Spark also incorporates a variety of other tools including stream processing, computing on graphs, and a distributed machine learning framework. Some of these tools are available to R programmers via the sparklyr package.

In this four part series, we’ll discuss how to leverage Spark’s capabilities in a modern R environment.

The Sparklyr Series:

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Learning Roadmap

We’ve grouped our existing webinars into learning tracks that can help you expand your Data Science skills.

Day 1

Day 2